group_df <- tibble(
id = 1:1000,
height = rnorm(1000, 170, 6),
weight = rnorm(1000, 80, 10),
eye_colour = sample(c("Blue", "Green", "Brown", "Grey"),
1000,
replace = T)
)
group_df# A tibble: 1,000 × 4
id height weight eye_colour
<int> <dbl> <dbl> <chr>
1 1 167. 78.2 Green
2 2 173. 87.3 Grey
3 3 162. 86.5 Brown
4 4 164. 73.9 Green
5 5 175. 89.0 Grey
6 6 164. 80.4 Brown
7 7 181. 85.2 Blue
8 8 169. 74.5 Green
9 9 171. 84.2 Green
10 10 165. 89.8 Brown
# ℹ 990 more rows